Plotting with matplotlib in Python

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September 24, 2021, at 06:46 PM by 10.35.117.248 -
Added line 57:
Generate a [[https://github.com/jlinehan31/Football-Field/blob/main/football_field_v1.ipynb|BYU Football field with Python]].
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June 21, 2020, at 04:16 AM by 136.36.211.159 -
Deleted lines 56-73:
----

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May 03, 2019, at 08:55 PM by 10.37.45.29 -
Changed lines 13-29 from:
 import numpy as np
 x = np.linspace(0,6,100)
 y = np.sin(x)
 z = np.cos(x)

 import matplotlib.pyplot as plt
 plt.plot(x,y,'r--',linewidth=3)
 plt.plot(x,z,'k:',linewidth=2)
 plt.legend(['y','z'])
 plt.xlabel('x')
 plt.ylabel('values')
 plt.xlim([0, 3])
 plt.ylim([-1.5, 1.5])
 plt.savefig('myFigure.png')
 plt.savefig('myFigure.eps')
 plt.show()
to:
(:source lang=python:)
import numpy as np
x = np.linspace(0,6,100)
y = np.sin(x)
z = np.cos(x)

import matplotlib.pyplot as plt
plt.plot(x,y,'r--',linewidth=3)
plt.plot(x,z,'k:',linewidth=2)
plt.legend(['y','z'])
plt.xlabel('x')
plt.ylabel('values')
plt.xlim([0, 3])
plt.ylim([-1.5, 1.5])
plt.savefig('myFigure.png')
plt.savefig('myFigure.eps')
plt.show()
(:sourceend:)
Changed lines 34-49 from:
 import numpy as np
 x = np.linspace(0,6,100)
 y = np.sin(x)
 z = np.cos(x)

 %matplotlib inline
 import matplotlib.pyplot as plt
 plt.plot(x,y,'r--',linewidth=3)
 plt.plot(x,z,'k:',linewidth=2)
 plt.legend(['y','z'])
 plt.xlabel('x')
 plt.ylabel('values')
 plt.xlim([0, 3])
 plt.ylim([-1.5, 1.5])
 plt.savefig('myFigure.png')
 plt.savefig('myFigure.eps')
to:
(:source lang=python:)
import numpy as np
x = np.linspace(0,6,100)
y = np.sin(x)
z = np.cos(x)

%matplotlib inline
import matplotlib.pyplot as plt
plt.plot(x,y,'r--',linewidth=3)
plt.plot(x,z,'k:',linewidth=2)
plt.legend(['y','z'])
plt.xlabel('x')
plt.ylabel('values')
plt.xlim([0, 3])
plt.ylim([-1.5, 1.5])
plt.savefig('myFigure.png')
plt.savefig('myFigure.eps')
(:sourceend:)
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August 30, 2015, at 02:56 AM by 45.56.3.184 -
Changed line 11 from:
!!!! Source Code
to:
!!!! Tutorial Source Code
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August 30, 2015, at 02:54 AM by 45.56.3.184 -
Added lines 10-49:

!!!! Source Code

 import numpy as np
 x = np.linspace(0,6,100)
 y = np.sin(x)
 z = np.cos(x)

 import matplotlib.pyplot as plt
 plt.plot(x,y,'r--',linewidth=3)
 plt.plot(x,z,'k:',linewidth=2)
 plt.legend(['y','z'])
 plt.xlabel('x')
 plt.ylabel('values')
 plt.xlim([0, 3])
 plt.ylim([-1.5, 1.5])
 plt.savefig('myFigure.png')
 plt.savefig('myFigure.eps')
 plt.show()

If using the iPython notebook, exclude the command '''plt.show()''' and include '''%matplotlib inline''' before loading matplotlib.pyplot as shown below.

 import numpy as np
 x = np.linspace(0,6,100)
 y = np.sin(x)
 z = np.cos(x)

 %matplotlib inline
 import matplotlib.pyplot as plt
 plt.plot(x,y,'r--',linewidth=3)
 plt.plot(x,z,'k:',linewidth=2)
 plt.legend(['y','z'])
 plt.xlabel('x')
 plt.ylabel('values')
 plt.xlim([0, 3])
 plt.ylim([-1.5, 1.5])
 plt.savefig('myFigure.png')
 plt.savefig('myFigure.eps')

!!!! Additional Tutorials
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August 30, 2015, at 02:47 AM by 45.56.3.184 -
Changed line 8 from:
<iframe width="560" height="315" src="https://www.youtube.com/embed/abL-fDq4p_o" frameborder="0" allowfullscreen></iframe>
to:
<iframe width="560" height="315" src="https://www.youtube.com/embed/xRzuzT2Kmsw" frameborder="0" allowfullscreen></iframe>
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August 30, 2015, at 02:47 AM by 45.56.3.184 -
Added lines 1-30:
(:title Plotting with matplotlib in Python:)
(:keywords big data, data analysis, Python programming, matplotlib, scatter plot, graph, university course:)
(:description Plot data with Python and export for a presentation or report:)

Effective plots are important to synthesize the information into relevant and persuasive information. The following tutorial details some of the common data plotting functions within Python.

(:html:)
<iframe width="560" height="315" src="https://www.youtube.com/embed/abL-fDq4p_o" frameborder="0" allowfullscreen></iframe>
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This tutorial can also be completed with scripting programming languages like [[Main/ExcelScatterPlots|Excel]] and [[Main/MatlabPlots|MATLAB]]. Click on the appropriate link for additional information and source code.

----

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            var dsq = document.createElement('script'); dsq.type = 'text/javascript'; dsq.async = true;
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